aokolnychyi commented on a change in pull request #29066:
URL: https://github.com/apache/spark/pull/29066#discussion_r530068371



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2WriteRequirements.scala
##########
@@ -0,0 +1,107 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.datasources.v2
+
+import org.apache.spark.sql.{catalyst, AnalysisException}
+import org.apache.spark.sql.catalyst.analysis.Resolver
+import org.apache.spark.sql.catalyst.expressions.SortOrder
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, 
RepartitionByExpression, Sort}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.connector.distributions.{ClusteredDistribution, 
OrderedDistribution, UnspecifiedDistribution}
+import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, 
NullOrdering, SortDirection, SortValue}
+import org.apache.spark.sql.connector.write.RequiresDistributionAndOrdering
+import org.apache.spark.sql.internal.SQLConf
+
+// this rule does resolution in the optimizer because some nodes like 
OverwriteByExpression
+// must undergo the expression optimization before we can construct a logical 
write
+object V2WriteRequirements extends Rule[LogicalPlan] {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan transformDown {
+    case V2BatchWriteCommand(write: RequiresDistributionAndOrdering, query, 
false) =>
+      val sqlConf = SQLConf.get
+      val resolver = sqlConf.resolver
+
+      val distribution = write.requiredDistribution match {
+        case d: OrderedDistribution =>
+          d.ordering.map(e => toCatalyst(e, query, resolver))
+        case d: ClusteredDistribution =>
+          d.clustering.map(e => toCatalyst(e, query, resolver))
+        case _: UnspecifiedDistribution =>
+          Array.empty[catalyst.expressions.Expression]
+      }
+
+      val queryWithDistribution = if (distribution.nonEmpty) {
+        val numShufflePartitions = sqlConf.numShufflePartitions
+        // repartition by expression will correctly pick range or hash 
partitioning
+        // based on whether we have an ordered or clustered distribution
+        // all expressions in OrderedDistribution will be mapped into SortOrder
+        // all expressions in ClusteredDistribution will be mapped into 
Expression
+        RepartitionByExpression(distribution, query, numShufflePartitions)
+      } else {
+        query
+      }
+
+      val ordering = write.requiredOrdering.toSeq
+        .map(e => toCatalyst(e, query, resolver))
+        .asInstanceOf[Seq[catalyst.expressions.SortOrder]]
+
+      val queryWithDistributionAndOrdering = if (ordering.nonEmpty) {
+        Sort(ordering, global = false, queryWithDistribution)
+      } else {
+        queryWithDistribution
+      }
+
+      // set aligned flag to true to make the rule idempotent
+      V2BatchWriteCommand(write, queryWithDistributionAndOrdering, aligned = 
true)
+  }
+
+  private def toCatalyst(
+      expr: Expression,
+      query: LogicalPlan,
+      resolver: Resolver): catalyst.expressions.Expression = {
+    expr match {
+      case SortValue(child, direction, nullOrdering) =>
+        val catalystChild = toCatalyst(child, query, resolver)
+        SortOrder(catalystChild, toCatalyst(direction), 
toCatalyst(nullOrdering), Set.empty)
+      case ref: FieldReference =>
+        // this part is controversial as we perform resolution in the optimizer
+        // we cannot perform this step in the analyzer since we need to 
optimize expressions
+        // in nodes like OverwriteByExpression before constructing a logical 
write
+        query.resolve(ref.parts, resolver) match {

Review comment:
       I'll be open to alternatives but I don't see a better way and we already 
have examples that do this.




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